Estimating freeway origin-destination patterns using automation traffic counts

Ping Yu, Gary A. Davis

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


The origin-destination (O-D) flow of traffic vehicles are estimated using information provided by freeway surveillance and control systems. A nonlinear least squares (NLS) estimator that eliminated model specification error was introduced, and it performed well in terms of statistical efficiency and lack bias. This implies that accurate O-D estimation may require an accurate traffic flow model and that actual implementation may require joint estimation of O-D patterns and traffic flow model parameters.

Original languageEnglish (US)
Pages (from-to)127-133
Number of pages7
JournalTransportation Research Record
Issue number1457
StatePublished - Dec 1994


Dive into the research topics of 'Estimating freeway origin-destination patterns using automation traffic counts'. Together they form a unique fingerprint.

Cite this